Diel Energia provides real-time monitoring and predictive maintenance solutions for refrigeration and air conditioning systems through cloud-based data analytics and intelligent automation. This technology reduces maintenance costs by up to 30% and energy consumption by 15%, while enhancing equipment reliability and operational efficiency.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many businesses lack real-time visibility into the performance and health of their refrigeration and air conditioning (HVAC) systems, leading to unexpected breakdowns, inefficient energy consumption, and increased maintenance costs. Reactive maintenance approaches often result in equipment downtime, impacting operations and profitability.
Solution
Diel Energia offers a comprehensive solution for intelligent and sustainable management of HVAC equipment, leveraging cloud-based data analytics and intelligent automation. The platform provides real-time monitoring of equipment performance, enabling predictive maintenance and reducing the risk of sudden failures. By optimizing energy consumption and streamlining maintenance processes, Diel Energia helps businesses reduce operational costs, improve equipment reliability, and enhance overall efficiency. The system uses sensors and meters installed on refrigeration devices to collect data, which is then transmitted to a cloud-based platform for analysis and visualization.
Target Audience
Diel Energia primarily serves businesses in industries such as retail, food service, and logistics that rely on refrigeration and air conditioning systems to maintain product quality, ensure customer comfort, and optimize operational efficiency.
Features
- Real-time monitoring of HVAC equipment performance via cloud-based platform
- Predictive maintenance capabilities to anticipate and prevent equipment failures
- Intelligent automation for customized programming with multiple variables to optimize energy consumption
- Remote access to data for quick action and failure prevention
- Energy consumption monitoring to identify and reduce unnecessary usage
- User-friendly dashboard for simple and intuitive data access
- Support from a consulting team to analyze data and assist in decision-making